Some ideas:
You could create a cluster model with k=3 for each of the 3 variables,
to determine what constitutes high/medium/low centroid values for each
of the 3 types of plant types. Centroid values could then be used as the
upper/lower boundary ranges for high/med/low.
Or utilize a histogram for each variable, and use quantiles or
densities, etc. to determine the natural breaks for the high/med/low
ranges for each of the IVs.
On 2022-05-29 15:28, Janet Choate wrote:
Hi R community,
I have a data frame with three variables, where each row adds up to 90.
I want to assign a category of low, medium, or high to the values in
each
row - where the lowest value per row will be set to 10, the medium
value
set to 30, and the high value set to 50 - so each row still adds up to
90.
For example:
Data: Orig
tree shrub grass
32 11 47
23 41 26
49 23 18
Data: New
tree shrub grass
30 10 50
10 50 30
50 30 10
I am not attaching any code here as I have not been able to write
anything
effective! appreciate help with this!
thank you,
JC
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